Doctorant : Loïc Pérennou, Cnam/Outscale Date et lieu: 23 octobre à 14h en salle 17.2.20, 2 rue Conté, 75003 Paris. Titre: Design de l’expérience des machines virtuelles: Allocation de ressources prédictive pour les infrastructures cloud. Composition du jury : Daniel Hagimont
Recent publications
- Inside Job: Defending Kubernetes Clusters Against Network Misconfigurations
- Shared Responsibility in Multi-Tenant Microcontrollers
- TinyML as a Service on Multi-Tenant Microcontrollers
- Intent-Driven Automata for Intent Structuring and Translation in Industry 4.0
- Leveraging Graph Neural Networks for Attack Detection in IoT Systems
- A Regularity-Driven Fast Rerouting Algorithm for Topology-Varying Satellite Networks
- Deep Q-ICAN: A Deep Reinforcement Learning-based Approach for Real-time CPA Attack Detection and Mitigation in NDN Architecture
- Helm-ET: Reducing Exposure to Lateral Movement in Kubernetes Artifacts
- Enhancing Security and Privacy in 5G Bubbles with Zero-Knowledge Proofs: A Comparative Analysis
- Traffic Prediction Improvement in 5G and beyond: AI and Self-Controlled Components
- Non-Terrestrial Disaggregated RAN: Prospective Architectures and Performance Insights
- Smart Metasurface-Enabled Adaptive Beamforming for Satellite-Assisted Maritime Communications
- Selective Traffic State Collection and Prediction Scheme for Software-Defined LEO Satellite Networks
- Apprentissage par renforcement pour la personnalisation de l’UX dans les Écosystèmes d’Affaires Numériques
